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Analysis of antigenically important residues in human influenza A virus in terms of B-cell epitopes. | LitMetric

Analysis of antigenically important residues in human influenza A virus in terms of B-cell epitopes.

J Virol

Department of Biological Sciences and Institute of Structural and Molecular Biology, Birkbeck, University of London, Malet Street, London WC1E 7HX, United Kingdom.

Published: September 2011

AI Article Synopsis

  • The study analyzes the antigenicity of influenza A virus hemagglutinin by developing a new computational method to identify regions important for immune response.
  • It reveals that amino acid changes in seasonal strains form consistent clusters that align with known B-cell epitopes, offering a more detailed understanding of antigenic sites than traditional models.
  • The findings suggest that antibodies targeting the "stalk" region of hemagglutinin are significant in influencing the virus's evolution, providing a way to track potential antigenic escape that conventional assays might miss.

Article Abstract

In this paper we undertake an analysis of the antigenicity of influenza A virus hemagglutinin. We developed a novel computational approach to the identification of antigenically active regions and showed that the amino acid substitutions between successive predominant seasonal strains form clusters that are consistent, in terms of both their location and their size, with the properties of B-cell epitopes in general and with those epitopes that have been identified experimentally in influenza A virus hemagglutinin to date. Such an interpretation provides a biologically plausible framework for an understanding of the location of antigenically important substitutions that is more specific than the canonical "antigenic site" model and provides an effective basis for deriving models that predict antigenic escape in the H3N2 subtype. Our results support recent indications that antibodies binding to the "stalk" region of hemagglutinin are found in the human population and exert evolutionary pressure on the virus. Our computational approach provides a possible method for identifying antigenic escape through evolution in this region, which in some cases will not be identified by the hemagglutinin inhibition assay.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3165792PMC
http://dx.doi.org/10.1128/JVI.00579-11DOI Listing

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